FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks

30 September 2016

Papers citing "FPGA-Based Low-Power Speech Recognition with Recurrent Neural Networks"

6 / 6 papers shown

Title
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml Elham E Khoda D. Rankin R. Teixeira de Lima Philip C. Harris Scott Hauck ... Chaitanya Paikara R. Rao S. Summers C. Vernieri Aaron Wang AI4CE 22 16 0 01 Jul 2022
ELSA: A Throughput-Optimized Design of an LSTM Accelerator for Energy-Constrained Devices E. Azari S. Vrudhula 12 5 0 19 Oct 2019
Recurrent Neural Networks: An Embedded Computing Perspective Nesma M. Rezk M. Purnaprajna Tomas Nordstrom Z. Ul-Abdin 43 81 0 23 Jul 2019
FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs Vladimir Rybalkin Alessandro Pappalardo M. M. Ghaffar Giulio Gambardella Norbert Wehn Michaela Blott 19 72 0 11 Jul 2018
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks Franyell Silfa Gem Dot J. Arnau Antonio González 33 39 0 20 Nov 2017
Fixed-point optimization of deep neural networks with adaptive step size retraining Sungho Shin Yoonho Boo Wonyong Sung MQ 32 34 0 27 Feb 2017